Data Science in Stratified Healthcare and Precision Medicine

Start Date: 08/09/2020

Course Type: Common Course

Course Link:

About Course

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here:

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Course Introduction

Data Science in Stratified Healthcare and Precision Medicine Data scientists and data analysts work across the physical, chemical, and biological boundaries of the human body in virtually every type of healthcare. Precision medicine, data scientists, and healthcare data scientists work side-by-side to solve complex and time-sensitive healthcare problems. Through this course, you will gain hands-on experience in data science in the health domain as well as apply that knowledge in precision medicine and health data analysis. This is a focused course designed to rapidly get you up to speed on the data science process, the data analysts, the data scientists, the data engineers, and the data scientists working side-by-side in real-world problems. We provide the prerequisite materials to get you up and running in the problem solving and data processing associated with data science. By the end of this course you should be able to: - Identify the physical, chemical, and biological processes that are fundamental to problems in health and disease - Design and analyze sample analyses and metabolite determinations using freely available data - Use freely available data to identify the sources of variation in analytical results - Educate yourself in the area of statistical hypothesis testing - Use statistical analysis tools to examine the relationship between variables in a data analysis At the end of this course, you should be able to: - Design statistical tests for hypothesis testing - Explain the basic ideas behind a variety of statistical tests - Conduct hypothesis testing using real world examples - Design a

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Data Science Python Programming Machine Learning Image Analysis

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International Precision Medicine Center Precision medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in environment, lifestyle and genes for each person. There are 5 features in precision medicine: Large population cohort, health information record, genomic information, smart healthcare technology and big data analysis technology.
Precision medicine Precision medicine (PM) is a medical model that proposes the customization of healthcare, with medical decisions, practices, and/or products being tailored to the individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other molecular or cellular analysis. Tools employed in precision medicine can include molecular diagnostics, imaging, and analytics/software.
International Precision Medicine Center IPMC builds a precision medical infrastructure and provides services in beauty, nutrition, healthcare, spa, fitness, and precision agriculture, etc. For this, IPMC makes partnerships with global companies and operates a corporation based on a team of researchers in the fields of medicine, biotechnology and ICT, all for successful precision medical care.
Precision medicine The ability to provide precision medicine to patients in routine clinical settings depends on the availability of molecular profiling tests, e.g. individual germline DNA sequencing. While precision medicine currently individualizes treatment mainly on the basis of genomic tests (e.g. Oncotype DX), several promising technology modalities are being developed, from techniques combining spectrometry and computational power to real-time imaging of drug effects in the body. Many different aspects of precision medicine are tested in research settings (e.g., proteome, microbiome), but in routine practice not all available inputs are used. The ability to practice precision medicine is also dependent on the knowledge bases available to assist clinicians in taking action based on test results.
International Precision Medicine Center IPMC aims to help advance science aimed at the discovery and development of effective treatments for human diseases and improving human health. For that, IPMC devotes to build a global ecosystem and standard service platform of Precision Medicine and Precision Industry. It serves as a base for a service-centric Precision Medicine business focused on genome and bio convergence technology, and would willingly take the role as a pioneer of the standardization of future medicine. Moreover, IPMC organizes the world’s largest personalized medicine and preventive medicine conference and serves as a global innovative technology & knowledge hub. Ultimately, IPMC will become a global bio-Service Complex (International Precision Medicine Center) to realize the world’s first bio-ecosystem, and the starting point of the global smart city (International Precision Medicine City).
Precision medicine In his 2015 State of the Union address, U.S. President Barack Obama stated his intention to fund a United States national "precision medicine initiative". A short-term goal of the Precision Medicine Initiative is to expand cancer genomics to develop better prevention and treatment methods. In the long-term, the Precision Medicine Initiative aims to build a comprehensive scientific knowledge base by creating a national network of scientists and embarking on a national cohort study of one million Americans to expand our understanding of health and disease.
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Precision medicine Inter-personal difference of molecular pathology is diverse, so as inter-personal difference in the exposome, which influence disease processes through the interactome within the tissue microenvironment, differentially from person to person. As the theoretical basis of precision medicine, the "unique disease principle" emerged to embrace the ubiquitous phenomenon of heterogeneity of disease etiology and pathogenesis. The unique disease principle was first described in neoplastic diseases as the unique tumor principle. As the exposome is a common concept of epidemiology, precision medicine is intertwined with molecular pathological epidemiology, which is capable of identifying potential biomarkers for precision medicine.
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